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465_pass_crack

Project 11 (Password Cracking) in CS 465.

activetm

angular-2-tutorial

Simply following the angular tutorial...

ankura

Anchor-based topic modeling

compass

Adds implementation for interacting with AngularJS and D3 elements using Selenium.

config

some basic configuration scripts

cs-256

Functional Prototype Demo repository

cs-470

Fall 2014

d3-quadtree

Two-dimensional recursive spatial subdivision.

d3-sankey

Visualize flow between nodes in a directed acyclic network.

d3-scale

Encodings that map abstract data to visual representation.

devices.css

Pure CSS phones and tablets

distmaps

mini repo for displaying and evaluating gradient-maps for temporal data

evolutionary-games-lab

CS 670 Lab #2: Evoultionary Games

flash-detect

Sample project for detecting a red-flash in a video using TypeScript, Angular 2, and tracking.js.

gfmm

Implementation of a General Fuzzy Min-Max Neural Network using numpy.

ggpserver-gamecontroller

Game Controller for GDL-II games

git-horror

A collection of horrible and dangerous git scripts that I use out of pure laziness.

graph-cut

Graph-cut Image Segmentation ---------------------------- Implements Boykov/Kolmogorov’s Max-Flow/Min-Cut algorithm for computer vision problems. Two gray-scale images have been used to test the system for image segmentation (foreground/background segmentation) problem. Steps: 1. defined the graph structure and unary and pairwise terms. For graph structure, i have used available packages/libraries such as PyMaxflow. 2. likelihood function for background and foreground has been generated. 3. General energy function consisting of unary and pairwise energy functionals have been written. 4. Likelihood maps (intensity map ranging from 0 to 1) for foreground and background have been displayed. 5. Use Boykov/Kolmogorov maxflow / mincut approach for solving the energy minimization problem. 6. Final segmentation have been displayed. Created an image for which the background pixels are red, and the foreground pixels have the color of the input image. Relevant paper can be found here: http://www.csd.uwo.ca/~yuri/Papers/pami04.pdf

hidden-video

Proof of Concept project using videogular and Angular to read data from a video, even when hidden.

mcmc

Repository for MCMC labs from CS 677.

mlp

A python implementation of a simple Multi-Layer Perceptron Neural Network, using the vector representation.

mock-fs

Simple proof-of-concept mock file system example written in python.

osvos-tensorflow

One-Shot Video Object Segmentation

proto-steve

Experimental repo for creating Minecraft bots using mineflayer.

python-hidden-markov

Automatically exported from code.google.com/p/python-hidden-markov

repeated_play

Lab #1 for CS 670: Repeated Play Prisoner's Dillema

sankey-neural-network

draw a neural network using the d3 sankey plugin

save-iris

A simple hack script for saving the iris data set and saving it in .csv format.

sensor-data-display